Files
cellxgene/server/app/driver/driver.py
2019-12-19 15:20:41 -08:00

133 lines
3.9 KiB
Python

from abc import ABCMeta, abstractmethod
"""
Sort order for methods
1. Initialize
2. Helper
3. Filter
4. Data & Metadata
5. Computation
"""
class CXGDriver(metaclass=ABCMeta):
def __init__(self, data_locator=None, args={}):
self.config = self._get_default_config()
self.config.update(args)
if data_locator:
self._load_data(data_locator)
self.data_locator = data_locator
else:
self.data = None
def update(self, data_locator=None, args={}):
self.config.update(args)
if data_locator:
self._load_data(data_locator)
self.data_locator = data_locator
@staticmethod
def _get_default_config():
return {
"layout": None,
"max_category_items": None,
"diffexp_lfc_cutoff": None,
"disable_diffexp": False,
"diffexp_may_be_slow": False
}
@abstractmethod
def get_config_parameters(self, uid=None):
"""
return a dict of properties that will be used to set the engine-specific
"parameters" info for client-side configuration.
See rest.py /config route for use
"""
pass
@property
def features(self):
features = {
"cluster": {
"available": False
},
"layout": {
"obs": {
"available": False
},
"var": {
"available": False
}
},
"diffexp": {
"available": True,
"interactiveLimit": 50000
}
}
# TODO - Interactive limit should be generated from the actual available methods see GH issue #94
if self.config["layout"]:
# TODO handle "var" when gene layout becomes available
features["layout"]["obs"] = {
"available": True,
"interactiveLimit": 50000
}
return features
@abstractmethod
def get_schema(self):
"""
Return current schema
"""
pass
@abstractmethod
def _load_data(self, data_locator):
pass
@abstractmethod
def annotation_to_fbs_matrix(self, axis, field=None, uid=None):
"""
Gets annotation value for each observation
:param axis: string obs or var
:param fields: list of keys for annotation to return, returns all annotation values if not set.
:return: flatbuffer: in fbs/matrix.fbs encoding
"""
pass
@abstractmethod
def annotation_put_fbs(self, axis, fbs, uid=None):
"""
Put/save FBS as user-defined labels
"""
pass
@abstractmethod
def data_frame_to_fbs_matrix(self, filter, axis):
pass
@abstractmethod
def diffexp_topN(self,
obsFilter1,
obsFilter2,
top_n=None,
interactive_limit=None):
"""
Computes the top N differentially expressed variables between two observation sets. If mode
is "TOP_N", then stats for the top N
dataframes
contain a subset of variables, then statistics for all variables will be returned, otherwise
only the top N vars will be returned.
:param obsFilter1: filter: dictionary with filter params for first set of observations
:param obsFilter2: filter: dictionary with filter params for second set of observations
:param top_n: Limit results to top N (Top var mode only)
:param interactive_limit: -- don't compute if total # genes in dataframes are larger than this
:return: top N genes and corresponding stats
"""
pass
@abstractmethod
def layout_to_fbs_matrix(self, filter):
""" same as layout, except returns a flatbuffer """
pass